• Dr.Parashuram Baraki
• Kadukar Dhanashri Mallikarjun
• Prema chougala
• Sanmesh Ghongade
• Shruthika Narvekar

The yield of the crop is important as the farmers are the back bone of our country India. The bacterial attack is going to ruin the early detection of these diseases on leaf and the pomegranate fruit. The proposed framework automatically grades the disease on leaves of crops. The system effectively inculcates Information and Communication Technology (ICT) in agriculture and hence contributes to Precision Agriculture. Presently, plant pathologists mainly rely on naked eye prediction and a disease scoring scale to grade the disease. This manual grading is not only time consuming but also not feasible. Hence we are proposing an image processing based approach to automatically grade the disease spread on plant leaves by employing SVM( Support Vector Machine ) classifier to make the decisions. The results are simulated in the Mat lab and it has shown that it has successfully detected the leaf or crop disease and names it. The proposed system can be reliably implemented on the real time scenario.

An Innovative Approach for Crop Disease Detection using Image Processing Technique and Pesticide Suggestion for Effective Crop Cultivation

"An Innovative Approach for Crop Disease Detection using Image Processing Technique and Pesticide Suggestion for Effective Crop Cultivation", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 8, page no.782-787, August-2018, Available :http://www.jetir.org/papers/JETIRC006453.pdf

"An Innovative Approach for Crop Disease Detection using Image Processing Technique and Pesticide Suggestion for Effective Crop Cultivation", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 8, page no. pp782-787, August-2018, Available at : http://www.jetir.org/papers/JETIRC006453.pdf